Students
Research students


Ph.D. candidate
– Multiagent Reinforcement Learning. 
– Multiagent Systems. 
– Combinatorial Optimization. 
– Meta Heuristics and Hybrid Metaheuristics.

Ph.D. candidate
– Nonlinear optimization. 
– Evolutionary computing. 
– Optimal control. 
– Numerical methods. 
– Vector control.

Ph.D. candidate
– Numerical methods. 
– Partial differential equation. 
– Optimization. 
– Optimal control.

Ph.D. candidate
– Evolutionary computation. 
– Multi and many-objective optimization. 
– Quality indicators. 
– Machine learning. 
– Artificial intelligence.

Ph.D. candidate
– Mono, multi and many objective optimization. 
– Dimensionality reduction. 
– Computational intelligence. 
– Multivariate statistics. 
– Machine and deep learning. 
– Natural Language Processing. 
– Data analysis and data science.

Ph.D. candidate
– Combinatorial optimization. 
– Evolutionary algorithms. 
-Multi-objective problems. 
-Many-objective problems.


Research staff

Data Scientist
– Evolutionary computation. 
– Logistics; Anomaly detection. 
– Time series modeling. 
– Machine learning.